We present a model-based method for estimation of relaxation parameters from time-domain NMR data specifically suitable for processing data in popular 2D phase-sensitive experiments. Our model is formulated in terms of commutative bicomplex algebra, which allows us to use the complete information available in an NMR signal acquired with principles of quadrature detection without disregarding any of its dimensions. Compared to the traditional intensity-analysis method, our model-based approach offers an important advantage for the analysis of overlapping peaks and is robust over a wide range of signal-to-noise ratios. We assess its performance with simulated experiments and then apply it for determination of \(R_1\) ,Â* \(R_2\) , andÂ* \(R_{1\rho }\) relaxation rates in datasets of a protein with more than 100 cross peaks.
Evaluating the influence of initial magnetization conditions on extracted exchange parameters in NMR relaxation experiments: applications to CPMG and CEST
Evaluating the influence of initial magnetization conditions on extracted exchange parameters in NMR relaxation experiments: applications to CPMG and CEST
Abstract
Transient excursions of native protein states to functionally relevant higher energy conformations often occur on the ÎĽsâ??ms timescale. NMR spectroscopy has emerged as an important tool to probe such processes using techniques such as Carrâ??Purcellâ??Meiboomâ??Gill (CPMG) relaxation dispersion and Chemical Exchange Saturation Transfer (CEST). The extraction of kinetic and...
nmrlearner
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07-30-2016 04:57 AM
[Question from NMRWiki Q&A forum] Choice of relaxation delay time (d1) in 2D experiments.
Choice of relaxation delay time (d1) in 2D experiments.
Hi,
Most people tend to use a lower d1 for 2D than for 1D. Help me understand why.
Furthermore, supposing you know your T1 value, what do you think is the "best" (or most effective while having the shortest experiment time) value for d1 in a 2D experiment?
I'm not even sure my question makes any sense.
Numerical estimation of relaxation and diffusion distributions in two dimensions
Numerical estimation of relaxation and diffusion distributions in two dimensions
Publication year: 2012
Source:Progress in Nuclear Magnetic Resonance Spectroscopy, Volume 62</br>
J. Mitchell, T.C. Chandrasekera, L.F. Gladden</br>
Graphical Abstract
http://ars.sciencedirect.com/content/image/1-s2.0-S0079656511000562-fx1.jpg Graphical abstract Highlights
nmrlearner
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03-09-2012 09:16 AM
[NMRpipe Yahoo group] Re: Signal-to-noise estimation
Re: Signal-to-noise estimation
Greetings, Dear Pipers, and Happy Winter Holidays, or Whatever ... There are lots of ways this could be done, depending on how rigorous you want to be, how
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12-25-2011 10:35 PM
[NMRpipe Yahoo group] Signal-to-noise estimation
Signal-to-noise estimation
Hello! I am new in "NMR world". I have some basic questions regarding the NMRPipe. I would like to know if there is a manner to estimate the signal-to-noise
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